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| RTree () |
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virtual | ~RTree () |
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void | Insert (const ELEMTYPE a_min[NUMDIMS], const ELEMTYPE a_max[NUMDIMS], const DATATYPE &a_dataId) |
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void | Remove (const ELEMTYPE a_min[NUMDIMS], const ELEMTYPE a_max[NUMDIMS], const DATATYPE &a_dataId) |
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int | Search (const ELEMTYPE a_min[NUMDIMS], const ELEMTYPE a_max[NUMDIMS], bool a_resultCallback(DATATYPE a_data, void *a_context), void *a_context) |
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void | RemoveAll () |
| Remove all entries from tree. More...
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int | Count () |
| Count the data elements in this container. This is slow as no internal counter is maintained. More...
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bool | Load (const char *a_fileName) |
| Load tree contents from file. More...
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bool | Load (RTFileStream &a_stream) |
| Load tree contents from stream. More...
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bool | Save (const char *a_fileName) |
| Save tree contents to file. More...
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bool | Save (RTFileStream &a_stream) |
| Save tree contents to stream. More...
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void | GetFirst (Iterator &a_it) |
| Get 'first' for iteration. More...
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void | GetNext (Iterator &a_it) |
| Get Next for iteration. More...
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void | GetNext2 (Iterator &a_it) |
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bool | IsNull (Iterator &a_it) |
| Is iterator NULL, or at end? More...
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DATATYPE & | GetAt (Iterator &a_it) |
| Get object at iterator position. More...
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Node * | AllocNode () |
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void | FreeNode (Node *a_node) |
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void | InitNode (Node *a_node) |
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void | InitRect (Rect *a_rect) |
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bool | InsertRectRec (Rect *a_rect, const DATATYPE &a_id, Node *a_node, Node **a_newNode, int a_level) |
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bool | InsertRect (Rect *a_rect, const DATATYPE &a_id, Node **a_root, int a_level) |
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Rect | NodeCover (Node *a_node) |
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bool | AddBranch (Branch *a_branch, Node *a_node, Node **a_newNode) |
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void | DisconnectBranch (Node *a_node, int a_index) |
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int | PickBranch (Rect *a_rect, Node *a_node) |
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Rect | CombineRect (Rect *a_rectA, Rect *a_rectB) |
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void | SplitNode (Node *a_node, Branch *a_branch, Node **a_newNode) |
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ELEMTYPEREAL | RectSphericalVolume (Rect *a_rect) |
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ELEMTYPEREAL | RectVolume (Rect *a_rect) |
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ELEMTYPEREAL | CalcRectVolume (Rect *a_rect) |
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void | GetBranches (Node *a_node, Branch *a_branch, PartitionVars *a_parVars) |
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void | ChoosePartition (PartitionVars *a_parVars, int a_minFill) |
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void | LoadNodes (Node *a_nodeA, Node *a_nodeB, PartitionVars *a_parVars) |
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void | InitParVars (PartitionVars *a_parVars, int a_maxRects, int a_minFill) |
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void | PickSeeds (PartitionVars *a_parVars) |
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void | Classify (int a_index, int a_group, PartitionVars *a_parVars) |
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bool | RemoveRect (Rect *a_rect, const DATATYPE &a_id, Node **a_root) |
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bool | RemoveRectRec (Rect *a_rect, const DATATYPE &a_id, Node *a_node, ListNode **a_listNode) |
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ListNode * | AllocListNode () |
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void | FreeListNode (ListNode *a_listNode) |
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bool | Overlap (Rect *a_rectA, Rect *a_rectB) |
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void | ReInsert (Node *a_node, ListNode **a_listNode) |
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bool | Search (Node *a_node, Rect *a_rect, int &a_foundCount, bool a_resultCallback(DATATYPE a_data, void *a_context), void *a_context) |
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void | RemoveAllRec (Node *a_node) |
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void | Reset () |
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void | CountRec (Node *a_node, int &a_count) |
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bool | SaveRec (Node *a_node, RTFileStream &a_stream) |
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bool | LoadRec (Node *a_node, RTFileStream &a_stream) |
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template<class DATATYPE, class ELEMTYPE, int NUMDIMS, class ELEMTYPEREAL = ELEMTYPE, int TMAXNODES = 8, int TMINNODES = TMAXNODES / 2>
class RTree< DATATYPE, ELEMTYPE, NUMDIMS, ELEMTYPEREAL, TMAXNODES, TMINNODES >
Implementation of RTree, a multidimensional bounding rectangle tree. Example usage: For a 3-dimensional tree use RTree<Object*, float, 3> myTree;
This modified, templated C++ version by Greg Douglas at Auran (http://www.auran.com)
DATATYPE Referenced data, should be int, void*, obj* etc. no larger than sizeof<void*> and simple type ELEMTYPE Type of element such as int or float NUMDIMS Number of dimensions such as 2 or 3 ELEMTYPEREAL Type of element that allows fractional and large values such as float or double, for use in volume calcs
NOTES: Inserting and removing data requires the knowledge of its constant Minimal Bounding Rectangle. This version uses new/delete for nodes, I recommend using a fixed size allocator for efficiency. Instead of using a callback function for returned results, I recommend and efficient pre-sized, grow-only memory array similar to MFC CArray or STL Vector for returning search query result.
Definition at line 99 of file rtree.h.
template<class DATATYPE , class ELEMTYPE , int NUMDIMS, class ELEMTYPEREAL = ELEMTYPE, int TMAXNODES = 8, int TMINNODES = TMAXNODES / 2>
int RTree< DATATYPE, ELEMTYPE, NUMDIMS, ELEMTYPEREAL, TMAXNODES, TMINNODES >::Search |
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const ELEMTYPE |
a_min[NUMDIMS], |
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const ELEMTYPE |
a_max[NUMDIMS], |
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bool |
a_resultCallbackDATATYPE a_data, void *a_context, |
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void * |
a_context |
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) |
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